Lehodey Patrick

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Lehodey
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  • Article
    The tropical Atlantic observing system
    (Frontiers Media, 2019-05-10) Foltz, Gregory R. ; Brandt, Peter ; Richter, Ingo ; Rodriguez-fonseca, Belen ; Hernandez, Fabrice ; Dengler, Marcus ; Rodrigues, Regina ; Schmidt, Jörn Oliver ; Yu, Lisan ; Lefevre, Nathalie ; Cotrim Da Cunha, Leticia ; McPhaden, Michael J. ; Araujo, Moacyr ; Karstensen, Johannes ; Hahn, Johannes ; Martín-Rey, Marta ; Patricola, Christina ; Poli, Paul ; Zuidema, Paquita ; Hummels, Rebecca ; Perez, Renellys ; Hatje, Vanessa ; Luebbecke, Joke ; Polo, Irene ; Lumpkin, Rick ; Bourlès, Bernard ; Asuquo, Francis Emile ; Lehodey, Patrick ; Conchon, Anna ; Chang, Ping ; Dandin, Philippe ; Schmid, Claudia ; Sutton, Adrienne J. ; Giordani, Hervé ; Xue, Yan ; Illig, Serena ; Losada, Teresa ; Grodsky, Semyon A. ; Gasparin, Florent ; Lee, Tong ; Mohino, Elsa ; Nobre, Paulo ; Wanninkhof, Rik ; Keenlyside, Noel S. ; Garcon, Veronique Cameille ; Sanchez-Gomez, Emilia ; Nnamchi, Hyacinth ; Drevillon, Marie ; Storto, Andrea ; Remy, Elisabeth ; Lazar, Alban ; Speich, Sabrina ; Goes, Marlos Pereira ; Dorrington, Tarquin ; Johns, William E. ; Moum, James N. ; Robinson, Carol ; Perruche, Coralie ; de Souza, Ronald Buss ; Gaye, Amadou ; Lopez-Parages, Jorge ; Monerie, Paul-Arthur ; Castellanos, Paola ; Benson, Nsikak U. ; Hounkonnou, Mahouton Norbert ; Trotte Duha, Janice ; Laxenaire, Rémi ; Reul, Nicolas
    he tropical Atlantic is home to multiple coupled climate variations covering a wide range of timescales and impacting societally relevant phenomena such as continental rainfall, Atlantic hurricane activity, oceanic biological productivity, and atmospheric circulation in the equatorial Pacific. The tropical Atlantic also connects the southern and northern branches of the Atlantic meridional overturning circulation and receives freshwater input from some of the world’s largest rivers. To address these diverse, unique, and interconnected research challenges, a rich network of ocean observations has developed, building on the backbone of the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). This network has evolved naturally over time and out of necessity in order to address the most important outstanding scientific questions and to improve predictions of tropical Atlantic severe weather and global climate variability and change. The tropical Atlantic observing system is motivated by goals to understand and better predict phenomena such as tropical Atlantic interannual to decadal variability and climate change; multidecadal variability and its links to the meridional overturning circulation; air-sea fluxes of CO2 and their implications for the fate of anthropogenic CO2; the Amazon River plume and its interactions with biogeochemistry, vertical mixing, and hurricanes; the highly productive eastern boundary and equatorial upwelling systems; and oceanic oxygen minimum zones, their impacts on biogeochemical cycles and marine ecosystems, and their feedbacks to climate. Past success of the tropical Atlantic observing system is the result of an international commitment to sustained observations and scientific cooperation, a willingness to evolve with changing research and monitoring needs, and a desire to share data openly with the scientific community and operational centers. The observing system must continue to evolve in order to meet an expanding set of research priorities and operational challenges. This paper discusses the tropical Atlantic observing system, including emerging scientific questions that demand sustained ocean observations, the potential for further integration of the observing system, and the requirements for sustaining and enhancing the tropical Atlantic observing system.
  • Article
    Observational needs supporting marine ecosystems modeling and forecasting: from the global ocean to regional and coastal systems
    (Frontiers Media, 2019-10-15) Capotondi, Antonietta ; Jacox, Michael ; Bowler, Chris ; Kavanaugh, Maria T. ; Lehodey, Patrick ; Barrie, Daniel ; Brodie, Stephanie ; Chaffron, Samuel ; Cheng, Wei ; Dias, Daniela F. ; Eveillard, Damien ; Guidi, Lionel ; Iudicone, Daniele ; Lovenduski, Nicole S. ; Nye, Janet A. ; Ortiz, Ivonne ; Pirhalla, Douglas ; Pozo Buil, Mercedes ; Saba, Vincent S. ; Sheridan, Scott ; Siedlecki, Samantha A. ; Subramanian, Aneesh C. ; de Vargas, Colomban ; Di Lorenzo, Emanuele ; Doney, Scott C. ; Hermann, Albert J. ; Joyce, Terrence M. ; Merrifield, Mark ; Miller, Arthur J. ; Not, Fabrice ; Pesant, Stephane
    Many coastal areas host rich marine ecosystems and are also centers of economic activities, including fishing, shipping and recreation. Due to the socioeconomic and ecological importance of these areas, predicting relevant indicators of the ecosystem state on sub-seasonal to interannual timescales is gaining increasing attention. Depending on the application, forecasts may be sought for variables and indicators spanning physics (e.g., sea level, temperature, currents), chemistry (e.g., nutrients, oxygen, pH), and biology (from viruses to top predators). Many components of the marine ecosystem are known to be influenced by leading modes of climate variability, which provide a physical basis for predictability. However, prediction capabilities remain limited by the lack of a clear understanding of the physical and biological processes involved, as well as by insufficient observations for forecast initialization and verification. The situation is further complicated by the influence of climate change on ocean conditions along coastal areas, including sea level rise, increased stratification, and shoaling of oxygen minimum zones. Observations are thus vital to all aspects of marine forecasting: statistical and/or dynamical model development, forecast initialization, and forecast validation, each of which has different observational requirements, which may be also specific to the study region. Here, we use examples from United States (U.S.) coastal applications to identify and describe the key requirements for an observational network that is needed to facilitate improved process understanding, as well as for sustaining operational ecosystem forecasting. We also describe new holistic observational approaches, e.g., approaches based on acoustics, inspired by Tara Oceans or by landscape ecology, which have the potential to support and expand ecosystem modeling and forecasting activities by bridging global and local observations.
  • Article
    Environmental drivers of large-scale movements of baleen whales in the mid-North Atlantic Ocean
    (Wiley Open Access, 2020-03-21) Pérez‐Jorge, Sergi ; Tobeña Morcillo, Marta ; Prieto, Rui ; Vandeperre, Frederic ; Calmettes, Beatriz ; Lehodey, Patrick ; Silva, Monica A.
    Aim Understanding the environmental drivers of movement and habitat use of highly migratory marine species is crucial to implement appropriate management and conservation measures. However, this requires quantitative information on their spatial and temporal presence, which is limited in the high seas. Here, we aimed to gain insights of the essential habitats of three baleen whale species around the mid‐North Atlantic (NA) region, linking their large‐scale movements with information on oceanographic and biological processes. Location Mid‐NA Ocean. Methods We present the first study combining data from 31 satellite tracks of baleen whales (15, 10 and 6 from fin, blue and sei whales, respectively) from March to July (2008–2016) with data on remotely sensed oceanography and mid‐ and lower trophic level biomass derived from the spatial ecosystem and population dynamics model (SEAPODYM). A Bayesian switching state‐space model was applied to obtain regular tracks and correct for location errors, and pseudo‐absences were created through simulated positions using a correlated random walk model. Based on the tracks and pseudo‐absences, we applied generalized additive mixed models (GAMMs) to determine the probability of occurrence and predict monthly distributions. Results This study provides the most detailed research on the spatio‐temporal distribution of baleen whales in the mid‐NA, showing how dynamic biophysical processes determine their habitat preference. Movement patterns were mainly influenced by the interaction of temperature and the lower trophic level biomass; however, this relationship differed substantially among species. Best‐fit models suggest that movements of whales migrating towards more productive areas in northern latitudes were constrained by depth and eddy kinetic energy. Main conclusions These novel insights highlight the importance of integrating telemetry data with spatially explicit prey models to understand which factors shape the movement patterns of highly migratory species across large geographical scales. In addition, our outcomes could contribute to inform management of anthropogenic threats to baleen whales in sparsely surveyed region.